Haiqian Yu

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We demonstrate the use of a " smart camera " to accelerate two very different image processing applications. The smart camera consists of a high quality video camera and frame grabber connected directly to an FPGA processing board. The advantages of this setup include minimizing the movement of large datasets and minimizing the latency by starting to(More)
Digital Particle Image Velocimetry (PIV) is well established as a fluid dynamics measurement tool, being capable of non-intrusively and concurrently measuring a distributed velocity filed. Yet the intensive computational requirements of PIV limit its usage almost exclusively to off-line processing, analysis and modelling. This paper proposes hardware(More)
Due to increases in design complexity, routing a reset signal to all registers is becoming more difficult. One way to solve this problem is to reset only certain registers and rely on a software initialization sequence to reset other registers. This approach, however, may allow unknown values (also called X-values) in uninitialized registers to leak to(More)
— Most image processing applications are not only computationally intensive, but also data intensive. Reconfigurable hardware boards provide a convenient and flexible solution to speed up these algorithms. To get a high performance design without going through the time-consuming hardware design process for each different algorithm, we present a simple(More)
Acknowledgements First, I would like to thank my advisor Prof. Miriam Leeser for her consistent support and patient guidance throughout this project. I benefit a lot from Prof. Miriam Leeser's keen insight of complicated problems and her useful suggestions. Many thanks should go to Mercury Computer Systems Inc., which initiated the project and funded my(More)
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